Information Visualisation Project#

# Imports 
import pandas as pd
import numpy as np 
import plotly.express as px
import plotly.graph_objects as go
import statistics as st
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.stats import pearsonr
# Import the Dataset
data = pd.read_csv('spotify_songs.csv', sep = ',')
# Creating a second dataframe for popular tracks only
data_popular = data[data['track_popularity'] > 90]
# Create useable date
data['track_album_release_date'] = pd.to_datetime(data['track_album_release_date'], format = 'ISO8601')